Position: Head of the Chair of Automatics, Telemechanics and Communication on Railway Transport, Samara State Transport University, Dr.Sci. (Engr.), Professor (Samara, Russian Federation).

Specialty: elements and devices of computer technology and control systems.

Researcher ID: C-2505-2018

Scopus ID: 57076210800

ORCID: 0000-0003-2717-7343

Russian Index of Science Citation ID: 615305

List of publications in Web of Science

Contact information: 
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Area of Scientific Interest: identification, pattern recognition, invariant systems, robotic systems.

Contribution: Learning classifiers of the states of various objects were developed based on the principles of pattern recognition. Invariant classifiers were developed, functioning on the principles of multi-channel invariance for lines with distributed parameters. Several ways of determining and ranking the primary informative parametric features were created, the informativeness of the images included in the recognition system was investigated, and several ways of determining the informativeness outside the recognition system were proposed. Adaptive state classification principles with a trainable classification model for open systems were investigated. Self-adaptive state classifiers for lines with distributed parameters having longitudinal and transverse inhomogeneities were implemented, and a system for recognizing the coordinates of objects on lines with distributed parameters by a multi-parameter classifier was created. A number of mathematical models of informative features forming state images were defined, and the metric method was investigated for them.

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